Data Engineer

job summary: Randstad Digital is hiring and we’re looking for someone like YOU to join our team! If you are seeking a new opportunity, looking to grow in your career, or you know someone who is - we want to hear from you! Take a look at the below opportunity, or feel free to visit RandstadUSA.com to view and apply.

location: Telecommute job type: Contract salary: $90.36 - 100.00 per hour work hours: 8am to 5pm education: Bachelors

responsibilities:

• Backend & APIs: Design, develop, and implement secure RESTful and GraphQL APIs, microservices, and low-latency data services integrated with data pipelines using Python, Boto3, and AWS services.
• Frontend UI: Build and maintain responsive, modular web applications utilizing React, JavaScript, HTML, and CSS.
• Data Pipelines & ETL: Architect, build, and maintain high-performance batch and near-real-time ETL pipelines using pySpark, AWS Glue, AWS Batch, or similar tools, orchestrated with tools like Apache Airflow. Process diverse data formats across SQL data warehouses and unstructured sources, collaborating cross-functionally to deliver scalable data solutions.
• Data Modeling & Storage: Optimize performance and design schema models across relational PostgreSQL, SQL Server and NoSQL DynamoDB databases, along with data warehouses like Snowflake.
• DevOps & Infrastructure: Manage infrastructure monitoring with CloudWatch, incident response, and CI/CD pipelines leveraging Jenkins, Docker, Kubernetes/EKS, and Git/GitHub. Experience utilizing and developing within AWS services. Troubleshoot and resolve issues related to AWS services and infrastructure.
• Testing: Establish rigorous automated unit and integration test suites to ensure high reliability and system stability.
• Cloud Optimization: Optimize data storage and processing using cloud-native services and technologies such as AWS S3, AWS Glue, AWS Batch, Lambda, and related AWS services.

qualifications: Languages & Frameworks: Python, Advanced SQL, JavaScript, HTML, CSS, React (Nice to have: Java, Kotlin, C#)

Data Engineering & Analytics: Apache Spark, pySpark, Snowflake, AWS Glue, AWS Batch, ETL pipeline design, Apache Airflow

Databases & Storage: AWS S3, Relational databases PostgreSQL, SQL Server, NoSQL DynamoDB

API & Backend Development: REST API design, GraphQL/Apollo, Boto3, API contracts, microservices, low-latency API integration Nice to have: SQS/SNS messaging

AWS Infrastructure & Cloud Services: Lambda, ECS, EC2, RDS, Route53, S3, CloudWatch, serverless architectures

DevOps & Testing: Jenkins, Docker, Kubernetes/EKS, CI/CD pipelines, Git/GitHub, automated testing unit/integration

Strategic Nice-to-Haves: IAM, cybersecurity data environments, access governance, identity platforms, Spring Batch, event-driven architectures

skills: AWS Glue,Apache Airflow,DynamoDB,EC2,RDS,AWS S3,S3,SQS,AWS services,AWS,AWS Infrastructure,Apache Spark,API development,API contracts,API,automated testing,Backend & APIs,Backend Development,Boto3,C#,CSS,Cloud Optimization,cloud-native data,Cloud Services,CloudWatch,CI/CD pipelines,Data Engineering & Analytics,data environments,processing pipelines,data pipelines,scalable data solutions,data storage,data warehouses,data services,databases,DevOps & Infrastructure,DevOps,Docker,event-driven architectures,ETL,ETL pipelines,ETL pipeline,Frontend,GraphQL APIs,GraphQL,HTML,Identity and Access Management,IAM,access governance,identity platforms,data engineering,integration test,Java,JavaScript,Jenkins,Kotlin,Kubernetes,low-latency,microservices,SQL Server,infrastructure monitoring,NoSQL,PostgreSQL,production-grade code,Languages & Frameworks,pySpark,Python,React,Relational databases,RESTful,REST API design,Route53,SQL data,cloud-native services,serverless architectures,Snowflake,Spring Batch,Advanced SQL,web applications,Troubleshoot,reliability,high-performance,data modeling,incident response,infrastructure,warehouses,system design,technical leadership,Testing

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate’s education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

,

• Backend & APIs: Design, develop, and implement secure RESTful and GraphQL APIs, microservices, and low-latency data services integrated with data pipelines using Python, Boto3, and AWS services.
• Frontend UI: Build and maintain responsive, modular web applications utilizing React, JavaScript, HTML, and CSS.
• Data Pipelines & ETL: Architect, build, and maintain high-performance batch and near-real-time ETL pipelines using pySpark, AWS Glue, AWS Batch, or similar tools, orchestrated with tools like Apache Airflow. Process diverse data formats across SQL data warehouses and unstructured sources, collaborating cross-functionally to deliver scalable data solutions.
• Data Modeling & Storage: Optimize performance and design schema models across relational PostgreSQL, SQL Server and NoSQL DynamoDB databases, along with data warehouses like Snowflake.
• DevOps & Infrastructure: Manage infrastructure monitoring with CloudWatch, incident response, and CI/CD pipelines leveraging Jenkins, Docker, Kubernetes/EKS, and Git/GitHub. Experience utilizing and developing within AWS services. Troubleshoot and resolve issues related to AWS services and infrastructure.
• Testing: Establish rigorous automated unit and integration test suites to ensure high reliability and system stability.
• Cloud Optimization: Optimize data storage and processing using cloud-native services and technologies such as AWS S3, AWS Glue, AWS Batch, Lambda, and related AWS services.

AWS Glue,Apache Airflow,DynamoDB,EC2,RDS,AWS S3,S3,SQS,AWS services,AWS,AWS Infrastructure,Apache Spark,API development,API contracts,API,automated testing,Backend & APIs,Backend Development,Boto3,C#,CSS,Cloud Optimization,cloud-native data,Cloud Services,CloudWatch,CI/CD pipelines,Data Engineering & Analytics,data environments,processing pipelines,data pipelines,scalable data solutions,data storage,data warehouses,data services,databases,DevOps & Infrastructure,DevOps,Docker,event-driven architectures,ETL,ETL pipelines,ETL pipeline,Frontend,GraphQL APIs,GraphQL,HTML,Identity and Access Management,IAM,access governance,identity platforms,data engineering,integration test,Java,JavaScript,Jenkins,Kotlin,Kubernetes,low-latency,microservices,SQL Server,infrastructure monitoring,NoSQL,PostgreSQL,production-grade code,Languages & Frameworks,pySpark,Python,React,Relational databases,RESTful,REST API design,Route53,SQL data,cloud-native services,serverless architectures,Snowflake,Spring Batch,Advanced SQL,web applications,Troubleshoot,reliability,high-performance,data modeling,incident response,infrastructure,warehouses,system design,technical leadership,Testing